python string cut
# string [start:end:step]
string = "freeCodeCamp"
print(string[0:len(string)-1]) # freeCodeCam
print(string[0:5]) # freeC
print(string[2:6]) # eeCo
print(string[-1]) # p
print(string[-5:]) # eCamp
print(string[1:-4]) # reeCode
print(string[-5:-2]) # eCa
print(string[::2]) # feCdCmdataframe cut based on range
test = pd.DataFrame({'days': [0,20,30,31,45,60]})
test['range1'] = pd.cut(test.days, [0,30,60], include_lowest=True)
#30 value is in [30, 60) group
test['range2'] = pd.cut(test.days, [0,30,60], right=False)
#30 value is in (0, 30] group
test['range3'] = pd.cut(test.days, [0,30,60])
print (test)
days range1 range2 range3
0 0 (-0.001, 30.0] [0, 30) NaN
1 20 (-0.001, 30.0] [0, 30) (0, 30]
2 30 (-0.001, 30.0] [30, 60) (0, 30]
3 31 (30.0, 60.0] [30, 60) (30, 60]
4 45 (30.0, 60.0] [30, 60) (30, 60]
5 60 (30.0, 60.0] NaN (30, 60]pd.cut in pandas
>>> pd.qcut(range(5), 3, labels=["good", "medium", "bad"])
...
[good, good, medium, bad, bad]
Categories (3, object): [good < medium < bad]Copyright © 2021 Codeinu
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