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How to plot a Pandas multi-index dataFrame with all xticks (Matplotlib)?
To plot a Pandas multi-index data frame with all xticks, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create index value with 1000 smaples data.
- Make a one-dimensional ndarray with axis labels.
- Get the mean value of the series.
- Plot g dataframe.
- Set the ticks and ticklabel on the current axes
- To display the figure, use show() method.
Example
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
idx = pd.date_range("2020-01-01", periods=1000)
val = np.random.rand(1000)
s = pd.Series(val, idx)
g = s.groupby([s.index.year, s.index.month]).mean()
ax = g.plot()
ax.set_xticks(range(len(g)))
ax.set_xticklabels(["%s-%02d" % item for item in g.index.tolist()],
rotation=45, ha='center')
plt.show()Output
Updated on: 05-Jun-2021
4K+ Views
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