How can I change the x axis in matplotlib so there is no white space?

Question

So currently learning how to import data and work with it in matplotlib and I am having trouble even tho I have the exact code from the book.

This is what the plot looks like, but my question is how can I get it where there is no white space between the start and the end of the x-axis.

Here is the code:

import csv  from matplotlib import pyplot as plt from datetime import datetime  # Get dates and high temperatures from file. filename = 'sitka_weather_07-2014.csv' with open(filename) as f:     reader = csv.reader(f)     header_row = next(reader)      #for index, column_header in enumerate(header_row):         #print(index, column_header)     dates, highs = [], []     for row in reader:         current_date = datetime.strptime(row[0], "%Y-%m-%d")         dates.append(current_date)          high = int(row[1])         highs.append(high)  # Plot data.  fig = plt.figure(dpi=128, figsize=(10,6)) plt.plot(dates, highs, c='red')   # Format plot. plt.title("Daily high temperatures, July 2014", fontsize=24) plt.xlabel('', fontsize=16) fig.autofmt_xdate() plt.ylabel("Temperature (F)", fontsize=16) plt.tick_params(axis='both', which='major', labelsize=16)  plt.show() 

Answer 1

There is an automatic margin set at the edges, which ensures the data to be nicely fitting within the axis spines. In this case such a margin is probably desired on the y axis. By default it is set to 0.05 in units of axis span.

To set the margin to 0 on the x axis, use

plt.margins(x=0) 

or

ax.margins(x=0) 

depending on the context. Also see the documentation.

In case you want to get rid of the margin in the whole script, you can use

plt.rcParams['axes.xmargin'] = 0 

at the beginning of your script (same for y of course). If you want to get rid of the margin entirely and forever, you might want to change the according line in the matplotlib rc file:

axes.xmargin : 0 axes.ymargin : 0 

Example

import seaborn as sns import matplotlib.pyplot as plt  tips = sns.load_dataset('tips')  fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4)) tips.plot(ax=ax1, title='Default Margin') tips.plot(ax=ax2, title='Margins: x=0') ax2.margins(x=0) 

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Alternatively, use plt.xlim(..) or ax.set_xlim(..) to manually set the limits of the axes such that there is no white space left.