df.plot with two plots in the same axes and 2nd one is line plot makes different chart between 0.23.4 and 0.25.0 · Issue #27686 · pandas-dev/pandas (original) (raw)

Code Sample, a copy-pastable example if possible

import pandas as pd import matplotlib.pyplot as plt

df = pd.read_csv('iris.csv') dfg = df.groupby('species').mean() dfg['swratio'] = dfg.sepal_width / dfg.sepal_length

fig, ax = plt.subplots(figsize=(10, 6)) dfg[['sepal_length', 'sepal_width', 'petal_length', 'petal_width']].plot.bar(ax=ax, rot=0, stacked=False) dfg[['swratio']].plot.line(label='Sepal Width Ratio', ax=ax, secondary_y=True, mark_right=False, rot=0, marker='o', markersize=3, color='c') ax.grid(True) pngfile = 'Output.png' fig = plt.gcf() fig.savefig(pngfile, bbox_inches = 'tight', dpi=100)

Problem description

dataframe.plot with secondary_y=True makes different chart between 0.23.4 and 0.25.0 as attached.

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Expected Output

Output of pd.show_versions()

[paste the output of pd.show_versions() here below this line]