Overlapping box plot
Question:
I’m trying to do a box plot. I iterate over df[‘ID_ESTACION’] values. Each of these values in for i in df['ID_ESTACION'].unique() it is a different measuring instrument. So what I want to do is plot the temperature for that machine on a box plot.
df_1 Example:
df_1['TEMPAIRE_filt'] (with df['ID_ESTACION']== 'some value')
1
23
45
52
34
26
28
For plot this df I used:
for i in df['ID_ESTACION'].unique():
df_1 = df[df.ID_ESTACION==i]
plt.boxplot(df_1['TEMPAIRE_filt'])
but I get this an overlapped box plot:
All the box plots are overlapped.
Answers:
If you are working with a Pandas dataframe, you can also use Matplotlib through Pandas. You don’t have to groupby or iterate over the unique values.
With an example dataset:
df = pd.DataFrame(
{
"ID_ESTACION": [1, 1, 1, 1, 1, 1, 1, 23, 23, 23, 23, 23, 23, 23],
"measured": [18, 10, 9, 12, 16, 17, 18, 6, 6, 11, 9, 4, 5, 7],
}
)
print(df)
Returns:
ID_ESTACION measured
0 1 18
1 1 10
2 1 9
3 1 12
4 1 16
5 1 17
6 1 18
7 23 6
8 23 6
9 23 11
10 23 9
11 23 4
12 23 5
13 23 7
You can plot like so:
df.boxplot(by="ID_ESTACION", column="measured", figsize=(4, 3)).set_ylabel("measured")
plt.title("Title")
plt.suptitle("") # removes default title which is hard to read
plt.show()
And you can add other keyword arguments from matplotlib boxplot:
https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.boxplot.html#matplotlib.pyplot.boxplot
I’m trying to do a box plot. I iterate over df[‘ID_ESTACION’] values. Each of these values in for i in df['ID_ESTACION'].unique() it is a different measuring instrument. So what I want to do is plot the temperature for that machine on a box plot.
df_1 Example:
df_1['TEMPAIRE_filt'] (with df['ID_ESTACION']== 'some value')
1
23
45
52
34
26
28
For plot this df I used:
for i in df['ID_ESTACION'].unique():
df_1 = df[df.ID_ESTACION==i]
plt.boxplot(df_1['TEMPAIRE_filt'])
but I get this an overlapped box plot:
All the box plots are overlapped.
If you are working with a Pandas dataframe, you can also use Matplotlib through Pandas. You don’t have to groupby or iterate over the unique values.
With an example dataset:
df = pd.DataFrame(
{
"ID_ESTACION": [1, 1, 1, 1, 1, 1, 1, 23, 23, 23, 23, 23, 23, 23],
"measured": [18, 10, 9, 12, 16, 17, 18, 6, 6, 11, 9, 4, 5, 7],
}
)
print(df)
Returns:
ID_ESTACION measured
0 1 18
1 1 10
2 1 9
3 1 12
4 1 16
5 1 17
6 1 18
7 23 6
8 23 6
9 23 11
10 23 9
11 23 4
12 23 5
13 23 7
You can plot like so:
df.boxplot(by="ID_ESTACION", column="measured", figsize=(4, 3)).set_ylabel("measured")
plt.title("Title")
plt.suptitle("") # removes default title which is hard to read
plt.show()
And you can add other keyword arguments from matplotlib boxplot:
https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.boxplot.html#matplotlib.pyplot.boxplot