cyberosa
commited on
Commit
·
da9a926
1
Parent(s):
93294d7
fixing figure size
Browse files
tabs/tokens_votes_dist.py
CHANGED
@@ -11,7 +11,7 @@ from typing import Tuple
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def get_based_tokens_distribution(market_id: str, all_markets: pd.DataFrame):
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"""Function to paint the evolution of the probability of the outcomes based on the tokens distributions over time"""
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sns.set_style("darkgrid")
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-
plt.rcParams["figure.figsize"] = (
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selected_market = all_markets.loc[all_markets["id"] == market_id]
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ax = selected_market.plot.barh(
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x="sample_datetime", y=["first_token_perc", "second_token_perc"], stacked=True
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@@ -37,7 +37,7 @@ def get_based_tokens_distribution(market_id: str, all_markets: pd.DataFrame):
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def get_based_votes_distribution(market_id: str, all_markets: pd.DataFrame):
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"""Function to paint the evolution of the probability of the outcomes based on the votes distributions over time"""
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sns.set_style("darkgrid")
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-
plt.rcParams["figure.figsize"] = (
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selected_market = all_markets.loc[all_markets["id"] == market_id]
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ax = selected_market.plot.barh(
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x="sample_datetime",
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def get_based_tokens_distribution(market_id: str, all_markets: pd.DataFrame):
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"""Function to paint the evolution of the probability of the outcomes based on the tokens distributions over time"""
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sns.set_style("darkgrid")
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+
plt.rcParams["figure.figsize"] = (10, 5)
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selected_market = all_markets.loc[all_markets["id"] == market_id]
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ax = selected_market.plot.barh(
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x="sample_datetime", y=["first_token_perc", "second_token_perc"], stacked=True
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def get_based_votes_distribution(market_id: str, all_markets: pd.DataFrame):
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"""Function to paint the evolution of the probability of the outcomes based on the votes distributions over time"""
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sns.set_style("darkgrid")
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+
plt.rcParams["figure.figsize"] = (10, 5)
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selected_market = all_markets.loc[all_markets["id"] == market_id]
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ax = selected_market.plot.barh(
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x="sample_datetime",
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