[英]python adjust x-axis label frequency
I have some time series data from 2000 to 2050. The default plot x-labels are 10 yr intervals, but i want to change them to 5 yr intervals. 我有一些2000年到2050年的时间序列数据。默认的图x标签为10年间隔,但是我想将它们更改为5年间隔。 The time series data is in a Pandas dataframe.
时间序列数据在Pandas数据框中。 I cannot find a good solution to my problem.
我找不到解决我问题的好方法。
Here is my data: 这是我的数据:
Here is my code: 这是我的代码:
years = dates.YearLocator()
yearsFmt = dates.DateFormatter('%Y')
datemin = 2000
datemax = 2050
a,b = 2010, 2050
d = {}
for j in range(35,40):
d[j] = pd.read_csv('Averages_SWB_Run' + str(j) + '.csv', skiprows=[0])
print
#Convert data['Year'] from string to datetime
pd.to_datetime(pd.Series(d[j]['Year']), format='%Y')
#Set data['Year'] as the index and delete the column
d[j].index = d[j]['Year']
del d[j]['Year']
d[j]
my_labels = ('Base2000s','Base Forecast','Climate Forecast 1 (GFDL)','Climate Forecast 2 (MRI)', 'Landuse Forecast 1', 'Landuse Forecast 2')
my_colors = ('black', 'black', 'red', 'green', 'cyan', 'goldenrod')
my_markers = ('o', 'o', '', '', '', '')
ax = d[j]['ET'].plot(title='Northern High Plains Aquifer: Evapotranspiration',marker=my_markers[j-34], markersize=2, color=my_colors[j-34], label=my_labels[j-34], figsize=(8, 6))
#ax1 = d[j]['ET'].plot(title='Northern High Plains Aquifer: Evapotranspiration', label='ET, Run'+ str(j))
ax.set_ylabel('Average annual evaptranspiration, in inches per year')
ax.set_ylim(0,25)
lines = ax.get_lines()
#my_labels = ['Base2000s','Base','GFDL','MRI', 'A2', 'B2']
ax.legend(lines, [line.get_label() for line in lines], loc='best')
#shading
ax.axvspan(a,b, color = 'lightgray')
txtbox = 'Gray shading represents future forecasts'
ax.text(0.5, 0.1, txtbox, ha='left', va='top',transform=ax.transAxes, fontsize=10)
ax.xaxis.set_major_locator(years)
ax.xaxis.set_major_formatter(yearsFmt)
ax.set_xlim(datemin, datemax)
figET = ax.get_figure()
figET.savefig('ET.jpg', dpi=300)
ax.set_xticks([2000,2005,2010,2015,2020,2025,2030,2035,2040,2045,2050])
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