Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -89,8 +89,151 @@ df2 = pd.DataFrame({
|
|
89 |
}
|
90 |
)
|
91 |
#st.bar_chart(df)
|
92 |
-
data =
|
93 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
94 |
|
95 |
|
96 |
# Erzeuge ein leeres Balkendiagramm
|
@@ -119,8 +262,9 @@ uploaded_file = st.file_uploader("Upload CSV data for analysis", type=['csv'])
|
|
119 |
#st.title("Datenanalyse mit PandasAI")
|
120 |
df1 = ""
|
121 |
sdf = ""
|
122 |
-
|
123 |
df = pd.DataFrame(data)
|
|
|
124 |
|
125 |
|
126 |
|
|
|
89 |
}
|
90 |
)
|
91 |
#st.bar_chart(df)
|
92 |
+
data = {
|
93 |
+
|
94 |
+
"Monat": "Februar",
|
95 |
+
|
96 |
+
"Angestellte": [
|
97 |
+
|
98 |
+
{
|
99 |
+
|
100 |
+
"Name": "Standke Steffen",
|
101 |
+
|
102 |
+
"Schichten": {
|
103 |
+
|
104 |
+
"1.": "F",
|
105 |
+
|
106 |
+
"2.": "F",
|
107 |
+
|
108 |
+
"3.": "",
|
109 |
+
|
110 |
+
"4.": "",
|
111 |
+
|
112 |
+
"5.": "",
|
113 |
+
|
114 |
+
"6.": "",
|
115 |
+
|
116 |
+
"7.": "",
|
117 |
+
|
118 |
+
"8.": "",
|
119 |
+
|
120 |
+
"9.": "",
|
121 |
+
|
122 |
+
"10.": "",
|
123 |
+
|
124 |
+
"11.": "",
|
125 |
+
|
126 |
+
"12.": "",
|
127 |
+
|
128 |
+
"13.": "",
|
129 |
+
|
130 |
+
"14.": "UA",
|
131 |
+
|
132 |
+
"15.": "UA",
|
133 |
+
|
134 |
+
"16.": "",
|
135 |
+
|
136 |
+
"17.": "SD",
|
137 |
+
|
138 |
+
"18.": "SD",
|
139 |
+
|
140 |
+
"19.": "",
|
141 |
+
|
142 |
+
"20.": "",
|
143 |
+
|
144 |
+
"21.": "",
|
145 |
+
|
146 |
+
"22.": "",
|
147 |
+
|
148 |
+
"23.": "",
|
149 |
+
|
150 |
+
"24.": "",
|
151 |
+
|
152 |
+
"25.": "",
|
153 |
+
|
154 |
+
"26.": "",
|
155 |
+
|
156 |
+
"27.": "",
|
157 |
+
|
158 |
+
"28.": "",
|
159 |
+
|
160 |
+
"29.": ""
|
161 |
+
|
162 |
+
}
|
163 |
+
|
164 |
+
},
|
165 |
+
|
166 |
+
{
|
167 |
+
|
168 |
+
"Name": "Will Susanne",
|
169 |
+
|
170 |
+
"Schichten": {
|
171 |
+
|
172 |
+
"1.": "",
|
173 |
+
|
174 |
+
"2.": "TZ",
|
175 |
+
|
176 |
+
"3.": "",
|
177 |
+
|
178 |
+
"4.": "",
|
179 |
+
|
180 |
+
"5.": "UA",
|
181 |
+
|
182 |
+
"6.": "",
|
183 |
+
|
184 |
+
"7.": "",
|
185 |
+
|
186 |
+
"8.": "",
|
187 |
+
|
188 |
+
"9.": "TZ",
|
189 |
+
|
190 |
+
"10.": "",
|
191 |
+
|
192 |
+
"11.": "",
|
193 |
+
|
194 |
+
"12.": "",
|
195 |
+
|
196 |
+
"13.": "",
|
197 |
+
|
198 |
+
"14.": "",
|
199 |
+
|
200 |
+
"15.": "",
|
201 |
+
|
202 |
+
"16.": "TZ",
|
203 |
+
|
204 |
+
"17.": "",
|
205 |
+
|
206 |
+
"18.": "",
|
207 |
+
|
208 |
+
"19.": "",
|
209 |
+
|
210 |
+
"20.": "",
|
211 |
+
|
212 |
+
"21.": "",
|
213 |
+
|
214 |
+
"22.": "",
|
215 |
+
|
216 |
+
"23.": "TZ",
|
217 |
+
|
218 |
+
"24.": "",
|
219 |
+
|
220 |
+
"25.": "",
|
221 |
+
|
222 |
+
"26.": "",
|
223 |
+
|
224 |
+
"27.": "",
|
225 |
+
|
226 |
+
"28.": "",
|
227 |
+
|
228 |
+
"29.": ""
|
229 |
+
|
230 |
+
}
|
231 |
+
|
232 |
+
}
|
233 |
+
|
234 |
+
]
|
235 |
+
|
236 |
+
}
|
237 |
|
238 |
|
239 |
# Erzeuge ein leeres Balkendiagramm
|
|
|
262 |
#st.title("Datenanalyse mit PandasAI")
|
263 |
df1 = ""
|
264 |
sdf = ""
|
265 |
+
data1 = [{"Feb 24":"","1.":"Do","2.":"Fr","3.":"Sa","4.":"So","5.":"Mo","6.":"Di","7.":"Mi","8.":"Do","9.":"Fr","10.":"Sa","11.":"So","12.":"Mo","13.":"Di","14.":"Mi","15.":"Do","16.":"Fr","17.":"Sa","18.":"So","19.":"Mo","20.":"Di","21.":"Mi","22.":"Do","23.":"Fr","24.":"Sa","25.":"So","26.":"Mo","27.":"Di","28.":"Mi","29.":"Do"},{"Feb 24":"Standke Steffen","1.":"F","2.":"F","3.":"","4.":"","5.":"","6.":"","7.":"","8.":"","9.":"","10.":"","11.":"","12.":"","13.":"","14.":"UA","15.":"UA","16.":"","17.":"SD","18.":"SD","19.":"","20.":"","21.":"","22.":"","23.":"","24.":"","25.":"","26.":"","27.":"","28.":"","29.":""},{"Feb 24":"Will Susanne","1.":"","2.":"TZ","3.":"","4.":"","5.":"UA","6.":"","7.":"","8.":"","9.":"TZ","10.":"","11.":"","12.":"","13.":"","14.":"","15.":"","16.":"TZ","17.":"","18.":"","19.":"","20.":"","21.":"","22.":"","23.":"TZ","24.":"","25.":"","26.":"","27.":"","28.":"","29.":""},{"Feb 24":"Raab Julia","1.":"TZ","2.":"TZ","3.":"","4.":"","5.":"","6.":"","7.":"","8.":"TZ","9.":"TZ","10.":"BLOCKER","11.":"","12.":"Ü","13.":"Ü","14.":"Ü","15.":"TZ","16.":"TZ","17.":"BLOCKER","18.":"","19.":"","20.":"","21.":"","22.":"TZ","23.":"TZ","24.":"","25.":"SD","26.":"","27.":"","28.":"","29.":"TZ"},{"Feb 24":"Eckert Marion","1.":"","2.":"","3.":"","4.":"","5.":"","6.":"","7.":"","8.":"","9.":"Ü","10.":"","11.":"","12.":"S","13.":"S","14.":"S","15.":"S","16.":"S","17.":"","18.":"","19.":"","20.":"","21.":"","22.":"","23.":"","24.":"","25.":"","26.":"S","27.":"S","28.":"S","29.":"S"},{"Feb 24":"Meder, Milena","1.":"","2.":"","3.":"","4.":"","5.":"","6.":"","7.":"","8.":"","9.":"","10.":"","11.":"","12.":"F","13.":"F","14.":"","15.":"F","16.":"F","17.":"","18.":"","19.":"","20.":"","21.":"","22.":"","23.":"","24.":"","25.":"","26.":"Voloreise","27.":"","28.":"","29.":""},{"Feb 24":"Despang Angelika","1.":"","2.":"","3.":"SD","4.":"","5.":"","6.":"","7.":"","8.":"","9.":"","10.":"","11.":"","12.":"UA","13.":"UA","14.":"UA","15.":"","16.":"","17.":"","18.":"","19.":"F","20.":"F","21.":"F","22.":"F","23.":"F","24.":"","25.":"","26.":"","27.":"","28.":"","29.":""},{"Feb 24":"Heike Beudert","1.":"TZ","2.":"0,5 U","3.":"","4.":"","5.":"TZ","6.":"","7.":"","8.":"","9.":"","10.":"SD","11.":"SD","12.":"UA","13.":"UA","14.":"TZ","15.":"TZ","16.":"TZ","17.":"","18.":"","19.":"TZ","20.":"TZ","21.":"TZ","22.":"TZ","23.":"TZ","24.":"","25.":"","26.":"F","27.":"F","28.":"F","29.":"F"},{"Feb 24":"Borst Benedikt","1.":"","2.":"","3.":"","4.":"SD","5.":"F","6.":"F","7.":"F","8.":"F","9.":"F","10.":"BLOCKER","11.":"","12.":"UA","13.":"UA","14.":"F","15.":"","16.":"","17.":"","18.":"","19.":"","20.":"","21.":"","22.":"","23.":"","24.":"BLOCKER","25.":"","26.":"","27.":"","28.":"","29.":""}]
|
266 |
df = pd.DataFrame(data)
|
267 |
+
df
|
268 |
|
269 |
|
270 |
|