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Select_by: snake_case and typehints (refer issue #53) #60

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Select_by: snake_case and typehints (refer issue #53) #60

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03f403a
enhanced code of scatterPlot(refer issue #43)
Tanvi-Jain01 Jun 30, 2023
a2ea7c7
timplot: modifying plots using plotly and
Tanvi-Jain01 Jun 30, 2023
d7d2e6b
Adding visualization using plotly
Tanvi-Jain01 Jun 30, 2023
fd7c45c
modifying the code of googleMaps
Tanvi-Jain01 Jun 30, 2023
5b48d31
modifying googlemaps #38
Tanvi-Jain01 Jun 30, 2023
043b730
Commit message: timeplot using plotly and subplot error solved
Tanvi-Jain01 Jul 10, 2023
273342d
googleMaps code enhanced and errors solved
Tanvi-Jain01 Jul 10, 2023
4087590
code extended with group and time_period
Tanvi-Jain01 Jul 10, 2023
b53edd1
applied typehints and camelcase
Tanvi-Jain01 Jul 10, 2023
9ef916e
added typehints and snake_case
Tanvi-Jain01 Jul 10, 2023
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Adding visualization using plotly
@Tanvi-Jain01
Tanvi-Jain01 committed Jun 30, 2023

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commit d7d2e6bdfaacfa2b4e12b772fecaa701403eb497
2 changes: 1 addition & 1 deletion vayu/timePlot.py
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Original file line number Diff line number Diff line change
@@ -19,7 +19,7 @@ def timePlot(df, year, pollutants=["pm25", "pm10"]):
import matplotlib as mpl
import matplotlib.pyplot as plt
import plotly.graph_objects as go

# Cuts the df down to the month specified
df.index = pd.to_datetime(df.date)
df_n_1 = df[(df.index.year == int(year))]