add baseball card inventory app

.gitignore

@@ -0,0 +1,2 @@
+.DS_Store
+.ipynb_checkpoints

app.py

@@ -0,0 +1,161 @@
+import math
+
+import pandas as pd
+import streamlit as st
+
+
+@st.cache_data
+def load_data(file, skiprows=0, encoding="ISO-8859-1"):
+    df = pd.read_csv(file, sep="\t", skiprows=skiprows, encoding=encoding)
+    return df
+
+
+@st.cache_data
+def convert_df(df):
+    return df.to_csv(sep="\t", index=False).encode('utf-8')
+
+
+@st.cache_data    
+def extract_surname(name):
+    """Add first name and last name columns"""
+    non_names = ['1992 Hoops set', '2016 Topps Now Highlights', 'Fox-Aparicio', 
+                 '1960 World Series', 'Mantle/Berra', 'Ashburn-Mays', 'Ruth/Aaron/Mays',
+                'Mays/Snider', 'New York Yankees', 'Checklist']
+    if not isinstance(name, str):
+        return None, None
+    if name == "G Hill Tribute":
+        return "G", "Hill"
+    if name == 'Ken Griffey, Jr.' or name=='Ken Griffey Jr.':
+        return "Ken", "Griffey Jr."
+    elif 'Vladimir Guerrero Jr.' in name:
+        return "Vladimir", 'Guerrero Jr.'
+    elif any(item in name for item in non_names):
+        return 'multiple', 'multiple'
+    elif "," in name:
+        return "multiple", 'multiple'
+    else:
+        if "-" in name or "/" in name:
+            print(name)
+            raise Exception("Found suspected multiple-name card!")
+        return " ".join(name.split()[:-1]), name.split()[-1]
+
+
+@st.cache_data     
+def add_grading_status(grader):
+    """Add graded column (yes/no)"""
+    if isinstance(grader, str):
+        return "Yes"
+    elif math.isnan(grader):
+        return "No"
+    else:
+        print(grader)
+        raise Exception("Found unexpected item in Grader column!")
+
+
+@st.cache_data
+def get_default_sort_order(df):
+    default_cols = [c for c in ["Type", "Graded", "Sport", "Last Name", "Year"] if \
+                    c in df.columns.values]
+    default_sort_order = [{"column" : item, "order": i }for i, item in \
+                          enumerate(default_cols)]
+    for col_name in df.columns.values:
+        if col_name not in default_cols:
+            default_sort_order.append({"column" : col_name, "order": None})
+    return pd.DataFrame(default_sort_order)
+
+
+@st.cache_data
+def get_sort_order(edited_sort_order):
+    sort_columns = edited_sort_order.dropna(subset="order")
+    cols = sort_columns.column.tolist()
+    orders = sort_columns.order.tolist()
+    return [col for (col, _) in sorted(zip(cols, orders), key=lambda x: x[1])]
+
+
+@st.cache_data
+def add_graded_column(df):
+    if "Grader" in df:
+        df["Graded"] = df['Grader'].apply(lambda x: add_grading_status(x))
+        df["Graded"] = pd.Categorical(df["Graded"], categories = ["Yes", "No"])  # sets sort order
+    else:
+        st.warning('Input data must have a "Grader" column'
+                 ' in order to create a "Graded" column', icon="⚠️")
+    return df
+
+
+@st.cache_data
+def add_multiple_column(df):
+    if "Quantity" in df:
+        df['Multiple'] = df['Quantity'].apply(lambda x: "Yes" if x>1 else "No")
+        df["Multiple"] = pd.Categorical(df["Multiple"], categories = ["Yes", "No"])
+        df = df.drop(columns=['Quantity'])
+    else:
+        st.warning('Input data must have a "Quantity" column'
+                 ' in order to do this', icon="⚠️")
+    return df
+
+
+@st.cache_data
+def add_first_and_last_name_columns(df):
+    if "Player Name" in df:
+        st.write("breaking up names")
+        df['First Name'] = df['Player Name'].apply(lambda x: extract_surname(x)[0])
+        df['Last Name'] = df['Player Name'].apply(lambda x: extract_surname(x)[-1])
+    else:
+        st.warning('Input data must have a "Player Name" column'
+                 ' in order to extract first and last names', icon="⚠️")
+    return df
+
+
+if __name__ == "__main__":
+    st.markdown("# Baseball card data wrangling")
+    st.write("Upload a tab-separated spreadsheet. The first row should contain column"
+             " names.")
+    input_file = st.file_uploader("Choose a file", type=['txt', 'csv', 'tsv',  'xlsx'])
+
+    if st.checkbox("Use sample data 1 (baseball cards)"):
+        input_file = "sample_data/sample_data_1.txt"
+    elif st.checkbox("Use sample data 2 (big cats)"):
+        input_file = "sample_data/sample_data_2.txt"
+        
+    if input_file is not None:    
+        df = load_data(input_file)
+        st.subheader('Input data')
+        st.write(df)
+
+        if st.checkbox('Create first name and last name columns'):
+            df = add_first_and_last_name_columns(df)
+
+        if st.checkbox('Add graded column'):
+            df = add_graded_column(df)
+
+        if st.checkbox('Create "multiple" column and remove quantity'):
+            df = add_multiple_column(df)
+        
+        if st.checkbox("Change sort order"):
+            st.subheader("Column sort order")
+            st.write("Edit the sort priority by changing the numbers in the table below."
+                     " Click the sort button below when you're done.")
+            default_sort_order = get_default_sort_order(df)
+            edited_sort_order = st.data_editor(default_sort_order)
+    
+            do_sort = st.button("Sort")
+        
+            if do_sort:
+                col_order = get_sort_order(edited_sort_order)
+                st.subheader('Sorted output data')
+                df = df.sort_values(by=col_order).reset_index(drop=True)
+
+
+        st.subheader('Output data')
+        st.write(df)
+
+        output_file = st.text_input("Enter name for the file to be downloaded", value="cards_output.csv")
+        if output_file is not None:
+            csv = convert_df(df)
+            st.download_button("Download data as CSV", csv, file_name=output_file)
+
+
+
+
+    

develop_app.ipynb

@@ -0,0 +1,930 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "95956dfc-c447-4dcb-a3c4-563ec91e9211",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "8724a364-ae3a-41a1-9b4a-68d53c452d83",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "infile = \"/Users/carolanderson/Dropbox/Existing2022CardInventoryWithNewBoxes2023.txt\"\n",
+    "df= pd.read_csv(infile, sep=\"\\t\", encoding=\"ISO-8859-1\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "660ed1bf-cf66-495e-a829-cfe37861aa3f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Type</th>\n",
+       "      <th>Sport</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Company</th>\n",
+       "      <th>Product</th>\n",
+       "      <th>Card #</th>\n",
+       "      <th>Player Name</th>\n",
+       "      <th>Notes</th>\n",
+       "      <th>HOF</th>\n",
+       "      <th>Grader</th>\n",
+       "      <th>Grade</th>\n",
+       "      <th>Storage Box</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1949</td>\n",
+       "      <td>Leaf</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>68</td>\n",
+       "      <td>Eddie Miller</td>\n",
+       "      <td>SP</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Beckett</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>270.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1949</td>\n",
+       "      <td>Leaf</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>48</td>\n",
+       "      <td>Johnny Schmitz</td>\n",
+       "      <td>SP</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Beckett</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>270.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1961</td>\n",
+       "      <td>Topps</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>575</td>\n",
+       "      <td>Ernie Banks</td>\n",
+       "      <td>AS</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Beckett</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>269.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1949</td>\n",
+       "      <td>Leaf</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>129</td>\n",
+       "      <td>Kirby Higbe</td>\n",
+       "      <td>SP</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Beckett</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>270.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>Topps</td>\n",
+       "      <td>All-Topps Mystery Finest</td>\n",
+       "      <td>M3</td>\n",
+       "      <td>Mark McGwire</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Beckett</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>270.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Type     Sport  Year Company                   Product Card #  \\\n",
+       "0  Card  Baseball  1949    Leaf                       NaN     68   \n",
+       "1  Card  Baseball  1949    Leaf                       NaN     48   \n",
+       "2  Card  Baseball  1961   Topps                       NaN    575   \n",
+       "3  Card  Baseball  1949    Leaf                       NaN    129   \n",
+       "4  Card  Baseball  1999   Topps  All-Topps Mystery Finest     M3   \n",
+       "\n",
+       "      Player Name Notes  HOF   Grader  Grade  Storage Box  \n",
+       "0    Eddie Miller    SP  NaN  Beckett    3.0        270.0  \n",
+       "1  Johnny Schmitz    SP  NaN  Beckett    3.0        270.0  \n",
+       "2     Ernie Banks    AS  NaN  Beckett    4.5        269.0  \n",
+       "3     Kirby Higbe    SP  NaN  Beckett    1.5        270.0  \n",
+       "4    Mark McGwire   NaN  NaN  Beckett    9.0        270.0  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "d37f49f3-8fca-42db-a148-b0d0c37c9c04",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Type</th>\n",
+       "      <th>Sport</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Company</th>\n",
+       "      <th>Product</th>\n",
+       "      <th>Card #</th>\n",
+       "      <th>Player Name</th>\n",
+       "      <th>Notes</th>\n",
+       "      <th>HOF</th>\n",
+       "      <th>Grader</th>\n",
+       "      <th>Grade</th>\n",
+       "      <th>Storage Box</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>55</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1952</td>\n",
+       "      <td>Bowman</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>11</td>\n",
+       "      <td>Ralph Kiner</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>Beckett</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>271.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>403</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1953</td>\n",
+       "      <td>Bowman</td>\n",
+       "      <td>Color</td>\n",
+       "      <td>80</td>\n",
+       "      <td>Ralph Kiner</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>314</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1949</td>\n",
+       "      <td>Leaf</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>61</td>\n",
+       "      <td>Jake Early</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>179</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1985</td>\n",
+       "      <td>Topps</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>401</td>\n",
+       "      <td>Mark McGwire</td>\n",
+       "      <td>Rookie</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Sportscard Guaranty</td>\n",
+       "      <td>86.0</td>\n",
+       "      <td>268.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>492</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1952</td>\n",
+       "      <td>Bowman</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>122</td>\n",
+       "      <td>Joe Garagiola</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>315</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1948</td>\n",
+       "      <td>Leaf</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>49</td>\n",
+       "      <td>Del Ennis</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>109</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1949</td>\n",
+       "      <td>Leaf</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>62</td>\n",
+       "      <td>Eddie Joost</td>\n",
+       "      <td>SP</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Beckett</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>270.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>66</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1949</td>\n",
+       "      <td>Leaf</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>113</td>\n",
+       "      <td>Dutch Leonard</td>\n",
+       "      <td>SP</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Beckett</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>268.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>340</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Basketball</td>\n",
+       "      <td>1994</td>\n",
+       "      <td>Competitive Images</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>8</td>\n",
+       "      <td>Michael Jordan</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>104</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1949</td>\n",
+       "      <td>Leaf</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>36</td>\n",
+       "      <td>Al Zarilla</td>\n",
+       "      <td>SP</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Beckett</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>271.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>469</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1974</td>\n",
+       "      <td>Topps</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>230</td>\n",
+       "      <td>Tony Perez</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>420</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1951</td>\n",
+       "      <td>Bowman</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>110</td>\n",
+       "      <td>Bobby Brown</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>302</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>Topps</td>\n",
+       "      <td>Now</td>\n",
+       "      <td>OS-80</td>\n",
+       "      <td>Shohei Ohtani</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>197</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1957</td>\n",
+       "      <td>Topps</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>25</td>\n",
+       "      <td>Whitey Ford</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Sportscard Guaranty</td>\n",
+       "      <td>86.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>144</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1954</td>\n",
+       "      <td>Dan-Dee</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Walker Cooper</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Beckett</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>270.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>481</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1952</td>\n",
+       "      <td>Bowman</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>96</td>\n",
+       "      <td>Ralph Branca</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>194</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1987</td>\n",
+       "      <td>Fleer</td>\n",
+       "      <td>Update Glossy</td>\n",
+       "      <td>U-68</td>\n",
+       "      <td>Greg Maddux</td>\n",
+       "      <td>Rookie</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Sportscard Guaranty</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>268.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>123</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>2001</td>\n",
+       "      <td>Topps</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>726</td>\n",
+       "      <td>Ichiro Suzuki</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Beckett</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>267.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>224</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1993</td>\n",
+       "      <td>Classic</td>\n",
+       "      <td>Best</td>\n",
+       "      <td>PR1</td>\n",
+       "      <td>Derek Jeter</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>CSA</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>358</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1952</td>\n",
+       "      <td>Topps</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>36</td>\n",
+       "      <td>Gil Hodges</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Type       Sport  Year             Company        Product Card #  \\\n",
+       "55   Card    Baseball  1952              Bowman            NaN     11   \n",
+       "403  Card    Baseball  1953              Bowman          Color     80   \n",
+       "314  Card    Baseball  1949                Leaf            NaN     61   \n",
+       "179  Card    Baseball  1985               Topps            NaN    401   \n",
+       "492  Card    Baseball  1952              Bowman            NaN    122   \n",
+       "315  Card    Baseball  1948                Leaf            NaN     49   \n",
+       "109  Card    Baseball  1949                Leaf            NaN     62   \n",
+       "66   Card    Baseball  1949                Leaf            NaN    113   \n",
+       "340  Card  Basketball  1994  Competitive Images            NaN      8   \n",
+       "104  Card    Baseball  1949                Leaf            NaN     36   \n",
+       "469  Card    Baseball  1974               Topps            NaN    230   \n",
+       "420  Card    Baseball  1951              Bowman            NaN    110   \n",
+       "302  Card    Baseball  2017               Topps            Now  OS-80   \n",
+       "197  Card    Baseball  1957               Topps            NaN     25   \n",
+       "144  Card    Baseball  1954             Dan-Dee            NaN      3   \n",
+       "481  Card    Baseball  1952              Bowman            NaN     96   \n",
+       "194  Card    Baseball  1987               Fleer  Update Glossy   U-68   \n",
+       "123  Card    Baseball  2001               Topps            NaN    726   \n",
+       "224  Card    Baseball  1993             Classic           Best    PR1   \n",
+       "358  Card    Baseball  1952               Topps            NaN     36   \n",
+       "\n",
+       "        Player Name   Notes  HOF               Grader  Grade  Storage Box  \n",
+       "55      Ralph Kiner     NaN    Y              Beckett    3.0        271.0  \n",
+       "403     Ralph Kiner     NaN  NaN                  NaN    NaN          NaN  \n",
+       "314      Jake Early     NaN  NaN                  NaN    NaN          NaN  \n",
+       "179    Mark McGwire  Rookie  NaN  Sportscard Guaranty   86.0        268.0  \n",
+       "492   Joe Garagiola     NaN  NaN                  NaN    NaN          NaN  \n",
+       "315       Del Ennis     NaN  NaN                  NaN    NaN          NaN  \n",
+       "109     Eddie Joost      SP  NaN              Beckett    2.5        270.0  \n",
+       "66    Dutch Leonard      SP  NaN              Beckett    2.5        268.0  \n",
+       "340  Michael Jordan     NaN  NaN                  NaN    NaN          NaN  \n",
+       "104      Al Zarilla      SP  NaN              Beckett    2.5        271.0  \n",
+       "469      Tony Perez     NaN  NaN                  NaN    NaN          NaN  \n",
+       "420     Bobby Brown     NaN  NaN                  NaN    NaN          NaN  \n",
+       "302   Shohei Ohtani     NaN  NaN                  NaN    NaN          NaN  \n",
+       "197     Whitey Ford     NaN  NaN  Sportscard Guaranty   86.0          NaN  \n",
+       "144   Walker Cooper     NaN  NaN              Beckett    2.0        270.0  \n",
+       "481    Ralph Branca     NaN  NaN                  NaN    NaN          NaN  \n",
+       "194     Greg Maddux  Rookie  NaN  Sportscard Guaranty   96.0        268.0  \n",
+       "123   Ichiro Suzuki     NaN  NaN              Beckett    8.0        267.0  \n",
+       "224     Derek Jeter     NaN  NaN                  CSA    9.0          NaN  \n",
+       "358      Gil Hodges     NaN  NaN                  NaN    NaN          NaN  "
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sample = df[:500].sample(20)\n",
+    "sample"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "795ef99b-abd7-4fe8-b56c-1779ebda8d52",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Type</th>\n",
+       "      <th>Sport</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Company</th>\n",
+       "      <th>Product</th>\n",
+       "      <th>Card #</th>\n",
+       "      <th>Player Name</th>\n",
+       "      <th>Notes</th>\n",
+       "      <th>HOF</th>\n",
+       "      <th>Grader</th>\n",
+       "      <th>Grade</th>\n",
+       "      <th>Storage Box</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>179</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1985</td>\n",
+       "      <td>Topps</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>401</td>\n",
+       "      <td>Mark McGwire</td>\n",
+       "      <td>Rookie</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Sportscard Guaranty</td>\n",
+       "      <td>86.0</td>\n",
+       "      <td>268.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>492</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1952</td>\n",
+       "      <td>Bowman</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>122</td>\n",
+       "      <td>Joe Garagiola</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>315</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1948</td>\n",
+       "      <td>Leaf</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>49</td>\n",
+       "      <td>Del Ennis</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>109</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1949</td>\n",
+       "      <td>Leaf</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>62</td>\n",
+       "      <td>Eddie Joost</td>\n",
+       "      <td>SP</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Beckett</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>270.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>66</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1949</td>\n",
+       "      <td>Leaf</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>113</td>\n",
+       "      <td>Dutch Leonard</td>\n",
+       "      <td>SP</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Beckett</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>268.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>340</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Basketball</td>\n",
+       "      <td>1994</td>\n",
+       "      <td>Competitive Images</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>8</td>\n",
+       "      <td>Michael Jordan</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>104</th>\n",
+       "      <td>Card</td>\n",
+       "      <td>Baseball</td>\n",
+       "      <td>1949</td>\n",
+       "      <td>Leaf</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>36</td>\n",
+       "      <td>Al Zarilla</td>\n",
+       "      <td>SP</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Beckett</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>271.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Type       Sport  Year             Company Product Card #  \\\n",
+       "179  Card    Baseball  1985               Topps     NaN    401   \n",
+       "492  Card    Baseball  1952              Bowman     NaN    122   \n",
+       "315  Card    Baseball  1948                Leaf     NaN     49   \n",
+       "109  Card    Baseball  1949                Leaf     NaN     62   \n",
+       "66   Card    Baseball  1949                Leaf     NaN    113   \n",
+       "340  Card  Basketball  1994  Competitive Images     NaN      8   \n",
+       "104  Card    Baseball  1949                Leaf     NaN     36   \n",
+       "\n",
+       "        Player Name   Notes  HOF               Grader  Grade  Storage Box  \n",
+       "179    Mark McGwire  Rookie  NaN  Sportscard Guaranty   86.0        268.0  \n",
+       "492   Joe Garagiola     NaN  NaN                  NaN    NaN          NaN  \n",
+       "315       Del Ennis     NaN  NaN                  NaN    NaN          NaN  \n",
+       "109     Eddie Joost      SP  NaN              Beckett    2.5        270.0  \n",
+       "66    Dutch Leonard      SP  NaN              Beckett    2.5        268.0  \n",
+       "340  Michael Jordan     NaN  NaN                  NaN    NaN          NaN  \n",
+       "104      Al Zarilla      SP  NaN              Beckett    2.5        271.0  "
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sample[3:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "58a90d8e-0480-4187-a7eb-cd69463c0329",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "outfile = \"sample_data/sample_data_1.txt\"\n",
+    "sample[3:13].to_csv(outfile, sep=\"\\t\", index=False, encoding=\"utf-8\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "31083cda-058b-4aee-b0d5-965e48c4bca7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>animal</th>\n",
+       "      <th>coat pattern</th>\n",
+       "      <th>Quantity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Leopard</td>\n",
+       "      <td>spots</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Tiger</td>\n",
+       "      <td>stripes</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Lion</td>\n",
+       "      <td>solid</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Cheetah</td>\n",
+       "      <td>spots</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    animal coat pattern  Quantity\n",
+       "0  Leopard        spots         2\n",
+       "1    Tiger      stripes        10\n",
+       "2     Lion        solid         1\n",
+       "3  Cheetah        spots         1"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df2 = pd.DataFrame([{\"animal\": \"Leopard\", \"coat pattern\": \"spots\", \"Quantity\" : 2},\n",
+    "                     {\"animal\": \"Tiger\", \"coat pattern\": \"stripes\", \"Quantity\" : 10},\n",
+    "                     {\"animal\" : \"Lion\", \"coat pattern\" : \"solid\", \"Quantity\" : 1},\n",
+    "                     {\"animal\" : \"Cheetah\", \"coat pattern\" : \"spots\", \"Quantity\" : 1}])\n",
+    "\n",
+    "df2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "bc9735c0-e12a-4b1f-8cb2-7501d37a4c19",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "outfile = \"sample_data/sample_data_2.txt\"\n",
+    "df2.to_csv(outfile, sep=\"\\t\", index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "ed438bbb-03f4-44a9-8f14-9390f3996cae",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\"animal\" in df2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "36d5bb2e-cc1e-4afa-bff9-730832e9a5ae",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dtype('int64')"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df3 = pd.read_csv(\"sample_data/sample_data_1.txt\", sep=\"\\t\", encoding=\"ISO-8859-1\" )\n",
+    "df3.Year.dtype"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "905c63e9-3d06-4905-ac63-3e66bf94c22e",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:rebalance] *",
+   "language": "python",
+   "name": "conda-env-rebalance-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

requirements.txt

@@ -0,0 +1 @@
+pandas

sample_data/sample_data_1.txt

@@ -0,0 +1,11 @@
+Type	Sport	Year	Company	Product	Card #	Player Name	Notes	HOF	Grader	Grade	Storage Box
+Card	Baseball	1985	Topps		401	Mark McGwire	Rookie		Sportscard Guaranty	86.0	268.0
+Card	Baseball	1952	Bowman		122	Joe Garagiola					
+Card	Baseball	1948	Leaf		49	Del Ennis					
+Card	Baseball	1949	Leaf		62	Eddie Joost	SP		Beckett	2.5	270.0
+Card	Baseball	1949	Leaf		113	Dutch Leonard	SP		Beckett	2.5	268.0
+Card	Basketball	1994	Competitive Images		8	Michael Jordan					
+Card	Baseball	1949	Leaf		36	Al Zarilla	SP		Beckett	2.5	271.0
+Card	Baseball	1974	Topps		230	Tony Perez					
+Card	Baseball	1951	Bowman		110	Bobby Brown					
+Card	Baseball	2017	Topps	Now	OS-80	Shohei Ohtani					

sample_data/sample_data_2.txt

@@ -0,0 +1,5 @@
+animal	coat pattern	Quantity
+Leopard	spots	2
+Tiger	stripes	10
+Lion	solid	1
+Cheetah	spots	1