[python] Pandas KeyError: value not in index

I have the following code,

df = pd.read_csv(CsvFileName)

p = df.pivot_table(index=['Hour'], columns='DOW', values='Changes', aggfunc=np.mean).round(0)
p.fillna(0, inplace=True)

p[["1Sun", "2Mon", "3Tue", "4Wed", "5Thu", "6Fri", "7Sat"]] = p[["1Sun", "2Mon", "3Tue", "4Wed", "5Thu", "6Fri", "7Sat"]].astype(int)

It has always been working until the csv file doesn't have enough coverage (of all week days). For e.g., with the following .csv file,

DOW,Hour,Changes
4Wed,01,237
3Tue,07,2533
1Sun,01,240
3Tue,12,4407
1Sun,09,2204
1Sun,01,240
1Sun,01,241
1Sun,01,241
3Tue,11,662
4Wed,01,4
2Mon,18,4737
1Sun,15,240
2Mon,02,4
6Fri,01,1
1Sun,01,240
2Mon,19,2300
2Mon,19,2532

I'll get the following error:

KeyError: "['5Thu' '7Sat'] not in index"

It seems to have a very easy fix, but I'm just too new to Python to know how to fix it.

I had a very similar issue. I got the same error because the csv contained spaces in the header. My csv contained a header "Gender " and I had it listed as:

[['Gender']]

If it's easy enough for you to access your csv, you can use the excel formula trim() to clip any spaces of the cells.

or remove it like this

df.columns = df.columns.to_series().apply(lambda x: x.strip())

please try this to clean and format your column names:

df.columns = (df.columns.str.strip().str.upper()
              .str.replace(' ', '_')
              .str.replace('(', '')
              .str.replace(')', ''))

I had the same issue.

During the 1st development I used a .csv file (comma as separator) that I've modified a bit before saving it. After saving the commas became semicolon.

On Windows it is dependent on the "Regional and Language Options" customize screen where you find a List separator. This is the char Windows applications expect to be the CSV separator.

When testing from a brand new file I encountered that issue.

I've removed the 'sep' argument in read_csv method before:

df1 = pd.read_csv('myfile.csv', sep=',');

after:

df1 = pd.read_csv('myfile.csv');

That way, the issue disappeared.