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| author | Mohammad S Anwar <mohammad.anwar@yahoo.com> | 2022-09-05 15:45:54 +0100 |
|---|---|---|
| committer | Mohammad S Anwar <mohammad.anwar@yahoo.com> | 2022-09-05 15:45:54 +0100 |
| commit | b6d0223da5058ce5c38d1556f9b3457e5b020739 (patch) | |
| tree | 0f0d700495709fac1fc024d19e5390d24e180185 | |
| parent | 8ec220688c577ac550baa97ae81397cb72eefdfe (diff) | |
| download | perlweeklychallenge-club-b6d0223da5058ce5c38d1556f9b3457e5b020739.tar.gz perlweeklychallenge-club-b6d0223da5058ce5c38d1556f9b3457e5b020739.tar.bz2 perlweeklychallenge-club-b6d0223da5058ce5c38d1556f9b3457e5b020739.zip | |
- Added guest contributions by Eric Cheung.
| -rwxr-xr-x | challenge-181/eric-cheung/python/ch-1.py | 18 | ||||
| -rwxr-xr-x | challenge-181/eric-cheung/python/ch-2.py | 14 |
2 files changed, 32 insertions, 0 deletions
diff --git a/challenge-181/eric-cheung/python/ch-1.py b/challenge-181/eric-cheung/python/ch-1.py new file mode 100755 index 0000000000..91c2f53377 --- /dev/null +++ b/challenge-181/eric-cheung/python/ch-1.py @@ -0,0 +1,18 @@ +
+strInputSent = "All he could think about was how it would all end. There was still a bit of uncertainty in the equation, but the basics were there for anyone to see. No matter how much he tried to see the positive, it wasn't anywhere to be seen. The end was coming and it wasn't going to be pretty."
+
+arrSentence = strInputSent.split(".")
+
+strOuputSent = ""
+
+for strSentence in arrSentence:
+
+ arrEachSentence = strSentence.split()
+ arrEachSentence = sorted(arrEachSentence, key = str.casefold)
+
+ if strOuputSent:
+ strOuputSent = strOuputSent + ". "
+
+ strOuputSent = strOuputSent + " ".join(arrEachSentence)
+
+print (strOuputSent)
diff --git a/challenge-181/eric-cheung/python/ch-2.py b/challenge-181/eric-cheung/python/ch-2.py new file mode 100755 index 0000000000..c28d9c8fd7 --- /dev/null +++ b/challenge-181/eric-cheung/python/ch-2.py @@ -0,0 +1,14 @@ +
+import pandas as pd
+import numpy as np
+
+
+df = pd.read_csv("Temperature.txt", sep = ",", header = None, names = ["Date", "Temperature"])
+df.sort_values(by = ["Date"], inplace = True)
+df["Match"] = (df.Temperature > df.Temperature.shift())
+
+nIndxArr = np.where(df["Match"] == True)
+
+arrData = df["Date"].iloc[nIndxArr]
+
+print (np.stack(arrData).astype(str))
|