如何使用python调整条形图中的时间？

Question

以下是我的数据，我想绘制其中的每月频率。存在缺失值。

YEAR    MONTH
1960    5
1961    7
1961    8
1961    11
1962    5
1963    6
1964    
1965    7
1966    7
1966    7
1966    10
1967    4
1967    8
1968    
1969    
1970    8
1971    6
1971    9
1971    10
1972    7
1973    6
1973    9
1974    10
1974    10
1975    10
1976    
1977    
1978    9
1979    11
1980    7
1980    7
1980    8
1981    
1982    10
1982    12
1983    
1984    7
1985    9
1986    
1987    
1988    9
1988    10
1989    7
1989    10
1990    
1991    7
1992    
1993    6
1993    7
1993    9
1993    9
1994    
1995    7
1996    8
1996    9
1997    5
1998    8
1998    9
1998    10
1999    8
1999    9
2000    9
2001    
2002    1
2003    5
2003    7
2003    8
2003    9
2003    10
2004    
2005    11
2006    7
2006    10
2007    9
2007    11
2007    11
2008    5
2009    5
2009    7
2009    9
2009    9
2010    10
2011    5
2011    9
2011    9
2012    8
2013    7
2014    9
2015    7
2016    
2017    8
2018    10
2019    11
2020    

我在 Jupyter Notebook 中使用了以下代码。还有其他列，但我只选择了月份。

#Plot Frequency
ISA = pd.read_csv (r'G\:data.csv', encoding="ISO-8859-1")
ISA = pd.DataFrame(ISA,columns=['YEAR','MONTH','TYPE'])
ISA=  ISA[ISA['YEAR'].between(1960,2020, inclusive="both")]
ISA['YEAR'] = pd.to_datetime(ISA['MONTH'])
ISA = ISA.set_index('YEAR')
ISA=ISA.drop(['MSW','TC NAME', 'KNOTS','PAR BEG', 'PAR END'],axis=1)
ISA=ISA.dropna(axis=0, how='any', thresh=None, subset=None, inplace=False)
ax=ISA.groupby([ISA.index.month, 'MONTH']).count().plot(kind='bar',color='lightgray',width=1, edgecolor='darkgray')
plt.xlabel('Month', color='black', fontsize=14, weight='bold')
plt.ylabel('Monthly frequency' , color='black', fontsize=14, weight='bold',)
plt.xticks([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct','Nov','Dec'],rotation=0, fontsize=12)
ax.yaxis.set_major_formatter(FormatStrFormatter('%.0f'))
plt.yticks(fontsize=12)
plt.ylim(0,20)
plt.suptitle("Monthly Frequency",fontweight='bold',y=0.95,x=0.53)
plt.title("ISA", pad=0)
L=plt.legend()
L.get_texts()[0].set_text('Frequency')
plt.bar_label(ax.containers[0], label_type='center', fontsize=11)
plt.plot()
plt.tight_layout()
plt.show()

使用此代码，生成的图包括二月和其他月份。它应该是零。你能帮我调整条形图吗？或者如果我的代码有问题。

Answer 1

这与您提供的示例数据很接近：

# read the initial data to a dataframe
import pandas as pd
from matplotlib import pyplot as plt
import matplotlib.ticker as mtick
ISA = pd.read_csv (r'data.txt', delim_whitespace=True)
ISA = pd.DataFrame(ISA,columns=['YEAR','MONTH'])
ISA['MONTH'] = ISA['MONTH'].astype(dtype='Int64')
ISA=  ISA[ISA['YEAR'].between(1960,2020, inclusive="both")] 
# Use `value_counts()` with that dataframe to collect counts fixing for the month numbers that are missing
# because no values ever reported for those months in imported data
months_count_collected = {}
for x in range (1,13):
    if x in ISA['MONTH'].value_counts():
        months_count_collected[x] = ISA['MONTH'].value_counts()[x]
        #print(ISA['MONTH'].value_counts()[x])
    else:
        months_count_collected[x] = 0
        #print(0)
# Make a dataframe with the frequency from `months_count_collected` where those with zero counts added back in
df = pd.DataFrame.from_dict(months_count_collected, orient='index', columns = ["Frequency"])
# MAke plot from frequency dataframe
ax = df.plot(kind='bar',color='lightgray',width=1, edgecolor='darkgray');
# set tick labels based on https://stackoverflow.com/a/30280076/8508004
ax.set_xticklabels(['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct','Nov','Dec'],rotation=0, fontsize=12);
ax.set_xlabel('Month', color='black', fontsize=14, weight='bold')
ax.set_ylabel('Annual frequency' , color='black', fontsize=14, weight='bold',)
#ax.set_title("Passage Frequency", pad=0);
#plt.yaxis.set_major_formatter(FormatStrFormatter('%.0f'))
ax.yaxis.set_major_formatter(mtick.FormatStrFormatter('%.0f')) # based on OP code and https://stackoverflow.com/a/36319915/8508004 to import and use `mtick` with Pandas
plt.yticks(fontsize=12)
ax.set_ylim(0,20)
plt.suptitle("Monthly Frequency",fontweight='bold',y=0.95,x=0.53)
plt.title("ISA", pad=0)
L=plt.legend()
L.get_texts()[0].set_text('Frequency')
plt.bar_label(ax.containers[0], label_type='center', fontsize=11)
plt.plot()
plt.tight_layout()
plt.show();

可能有更聪明的方法来填充输入中未表示的月份。