Count occurences in pandas column database and bar plot with matplotlib
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So I have a pandas database with 4 columns.
Date A B C.
The dates contain all daily dates from year 2018, 2019 and 2020.
These columns A B C contains numbers from 1 to 7. No decimals.
I want to count each of this number occurences and stack them into a bar plot.
Count all 1's, 2's, 3's ect.
Anyone got a good solution for this?
pandas matplotlib
asked Nov 11 at 2:08
oppsig
61
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up vote
0
down vote
favorite
So I have a pandas database with 4 columns.
Date A B C.
The dates contain all daily dates from year 2018, 2019 and 2020.
These columns A B C contains numbers from 1 to 7. No decimals.
I want to count each of this number occurences and stack them into a bar plot.
Count all 1's, 2's, 3's ect.
Anyone got a good solution for this?
pandas matplotlib
asked Nov 11 at 2:08
oppsig
61
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
So I have a pandas database with 4 columns.
Date A B C.
The dates contain all daily dates from year 2018, 2019 and 2020.
These columns A B C contains numbers from 1 to 7. No decimals.
I want to count each of this number occurences and stack them into a bar plot.
Count all 1's, 2's, 3's ect.
Anyone got a good solution for this?
pandas matplotlib
asked Nov 11 at 2:08
oppsig
61
So I have a pandas database with 4 columns.
Date A B C.
The dates contain all daily dates from year 2018, 2019 and 2020.
These columns A B C contains numbers from 1 to 7. No decimals.
I want to count each of this number occurences and stack them into a bar plot.
Count all 1's, 2's, 3's ect.
Anyone got a good solution for this?
pandas matplotlib
pandas matplotlib
asked Nov 11 at 2:08
oppsig
61
asked Nov 11 at 2:08
oppsig
61
asked Nov 11 at 2:08
oppsig
61
asked Nov 11 at 2:08
oppsig
61
asked Nov 11 at 2:08
oppsig
61
61
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
up vote
0
down vote
Using melt with value_counts
df.melt('Date').value.value_counts().plot(kind='bar')
answered Nov 11 at 2:17
W-B
93.3k72755
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
Using melt with value_counts
df.melt('Date').value.value_counts().plot(kind='bar')
answered Nov 11 at 2:17
W-B
93.3k72755
add a comment |
up vote
0
down vote
Using melt with value_counts
df.melt('Date').value.value_counts().plot(kind='bar')
answered Nov 11 at 2:17
W-B
93.3k72755
add a comment |
up vote
0
down vote
up vote
0
down vote
Using melt with value_counts
df.melt('Date').value.value_counts().plot(kind='bar')
answered Nov 11 at 2:17
W-B
93.3k72755
Using melt with value_counts
df.melt('Date').value.value_counts().plot(kind='bar')
answered Nov 11 at 2:17
W-B
93.3k72755
answered Nov 11 at 2:17
W-B
93.3k72755
answered Nov 11 at 2:17
W-B
93.3k72755
answered Nov 11 at 2:17
W-B
93.3k72755
93.3k72755
add a comment |
add a comment |
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