将格式应用于Jupyter Notebook中的所有子图

Question

When plotting 3 pandas dataframe with different time resolution (hourly, daily, monthly) in Jupyter Notebook, I would like to apply a consistent format to all three subplots showing only month and not year (ie Jan, Feb, Mar, and not Jan 2010, Feb 2010, Mar 2010).

Question: how to apply the formatting across all subplots?

Import libraries

import matplotlib
import matplotlib.dates
import matplotlib.pyplot as plt
import numpy as np
import os
import pandas as pd
import seaborn as sns
%matplotlib inline

Create 3 dataframes

hourly = pd.DataFrame({'val': np.random.rand(24*365)}, index=pd.date_range('2010-01-01', '2010-12-31 23:00', freq='1H'))
daily = pd.DataFrame({'val': np.random.rand(365)}, index=pd.date_range('2010-01-01', '2010-12-31 23:00', freq='1D'))
monthly = pd.DataFrame({'val': np.random.rand(12)}, index=pd.date_range('2010-01-01', '2010-12-31 23:00', freq='1M'))

Plot and apply formatting to three subplots

def plot2(hourly, daily, monthly):
    f, ax = plt.subplots(3, 1, sharex = False, figsize=(16, 14))
    hourly[['val']].plot(ax=ax[0], legend=False)
    daily[['val']].plot(ax=ax[1], legend=False)
    monthly[['val']].plot(ax=ax[2], legend=False)

    for axA in ax:
        month = matplotlib.dates.MonthLocator()
        monthFmt = matplotlib.dates.DateFormatter('%b')
        axA.xaxis.set_major_locator(month)
        axA.xaxis.set_major_formatter(monthFmt)
        for item in axA.get_xticklabels():
            item.set_rotation(0)

    sns.despine()
    plt.tight_layout()
    return f, ax

plot2(hourly, daily, monthly)

The resulting figure shows the desired formatting for the second and third plots, but not the first plot. Figure showing the first plot is not formatted properly, but the second and third plots are formatted properly

I am using Python 3.5

Answer 1

Seems like pandas has some problems. Using matplolib directly works better:

def plot2(hourly, daily, monthly):
    f, ax = plt.subplots(3, 1, sharex = False, figsize=(16, 14))
    ax[0].plot(hourly.index, hourly[['val']])
    ax[1].plot(daily.index, daily[['val']])
    ax[2].plot(monthly.index, monthly[['val']])

    for axA in ax[::-1]:
        month = matplotlib.dates.MonthLocator()
        monthFmt = matplotlib.dates.DateFormatter('%b')
        axA.xaxis.set_major_locator(month)
        axA.xaxis.set_major_formatter(monthFmt)
        for item in axA.get_xticklabels():
            item.set_rotation(0)

    sns.despine()
    plt.tight_layout()
    return f, ax