Setting x-axis as Year from datetime index of dataframe column using matplotlib

Question

Here's a simplified version of the code which explains what I'm trying to do:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

dates = pd.date_range('20070101',periods=1000)
df = pd.DataFrame(np.random.randn(1000), index = dates, columns =list ('A'))

plt.plot(df['A'])

this results in this graph:

I want to use the Year from the datetime index as the labels for the x axis on this graph, not the number of datapoints/days. I want 2007, 2008, 2009 etc based on the datetime index (as this will vary according to my input data).

I've looked at every help site for this and nothing seems to work, I may be missing something very obvious, which I apologise for, but I can't figure this out.

EDIT

New code to illustrate error:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.dates as mdates

dates = pd.date_range('20070101',periods=1000)
df = pd.DataFrame(np.random.randn(1000), columns =list ('A'))
df['date'] = dates

def get_season(row):
    if row['date'].month >= 3 and row['date'].month <= 5:
        return 'spring'
    elif row['date'].month >= 6 and row['date'].month <= 8:
        return 'summer'
    elif row['date'].month >= 9 and row['date'].month <= 11:
        return 'autumn'
    else:
        return 'winter'

df['Season'] = df.apply(get_season, axis=1)
df['Year'] = df['date'].dt.year
df.loc[df['date'].dt.month == 12, 'Year'] += 1
df = df.set_index(['Year', 'Season'], inplace=False)

df.head()

fig,ax = plt.subplots()
df.plot(x_compat=True,ax=ax)

ax.xaxis.set_tick_params(reset=True)
ax.xaxis.set_major_locator(mdates.YearLocator(1))
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y'))

plt.show()

This gives the error:

ValueError: ordinal must be >= 1

This seems to come from the line

ax.xaxis.set_major_locator(mdates.YearLocator(1))

I think it's to do with the multi-index, but don't understand how to plot it with the multi-index.

tmdavison · Accepted Answer · 2015-11-05 16:39:48Z

6

You can plot directly from the DataFrame using df.plot

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

dates = pd.date_range('20070101',periods=1000)
df = pd.DataFrame(np.random.randn(1000), index = dates, columns =list ('A'))

df.plot()

plt.show()

EDIT

To just show the year, we need to turn off the default pandas date formatting, by setting x_compat=True.

Then, we can use a DateLocator and DateFormatter from matplotlib.dates to just use the year.

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.dates as mdates

dates = pd.date_range('20070101',periods=1000)
df = pd.DataFrame(np.random.randn(1000), index = dates, columns =list ('A'))

fig,ax = plt.subplots()
df.plot(x_compat=True,ax=ax)

ax.xaxis.set_tick_params(reset=True)
ax.xaxis.set_major_locator(mdates.YearLocator(1))
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y'))

plt.show()

edited Nov 5, 2015 at 16:39

answered Nov 5, 2015 at 16:12

tmdavison

69.7k13 gold badges204 silver badges182 bronze badges

Sign up to request clarification or add additional context in comments.

5 Comments

Pad Over a year ago

thanks, this works, but the data I'm actually using is indexed by both year and season, and these overlap each other when graphed. Is there a way of only using one aspect of the index (i.e. the year) to label the x axis?

Pad Over a year ago

thanks again, but I'm still hitting an error when it gets to the ax.xaxis.set_major_locator(mdates.YearLocator(1)) line. The error says ValueError: ordinal must be >= 1. I thought this was because I was plotting only one column from the data frame, but when I create a new dataframe with only one column which I want, then try to plot that, the same error comes up.

tmdavison Over a year ago

maybe you should create a minimal example that actually reproduces your error?

weefwefwqg3 Over a year ago

Thanks! I used your code, and edit it to fit my needs, which is in MONTH ->>>>>>>>>>> new_hash_per_day_plot.xaxis.set_major_locator(dates.MonthLocator()) new_hash_per_day_plot.xaxis.set_major_formatter(dates.DateFormatter('%m'))

nandhos Over a year ago

@tom , In your first plot you are using df.plot(), that automatically set the xlabel in two rows (months and years), I am trying to do that without using df.plot() because I have using plt.subplots(), so do you know how do xlabel in two rows (months/years) using matplotlib.dates ?

Collectives™ on Stack Overflow

Setting x-axis as Year from datetime index of dataframe column using matplotlib

1 Answer 1

5 Comments

Your Answer

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

5 Comments

Your Answer

Sign up or log in

Post as a guest

Related