finished tast 1

This commit is contained in:
Kristofers Solo 2023-12-23 15:23:26 +02:00
parent 651f0764d8
commit 06693d328f

48
main.py
View File

@ -3,6 +3,8 @@
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from loguru import logger
@ -26,35 +28,37 @@ def read_data(path: Path) -> pd.DataFrame:
return dataframe
# def visualize() -> None:
# df_wind_speed = read_data(WIND_SPEED_PATH)
# df_wind_gusts = read_data(WIND_GUSTS_PATH)
# index = range(len(df_wind_speed))
# bar_width = 0.35
#
# for column, (mean_speed, max_speed) in enumerate(zip(df_wind_speed.columns, df_wind_gusts.columns)):
# plt.bar(index, df_wind_speed[column], width=bar_width, label=f"Vidējais vēja ātrums {mean_speed}", color="blue")
# plt.bar(index, df_wind_gusts[column], width=bar_width, label=f"Vēja ātrums brāzmās {mean_speed}", color="orange")
#
# plt.figure(figsize=(12, 6))
# plt.xlabel("Mērījumu Datums")
# plt.ylabel("Vēja ātrums (m/s)")
# plt.title("Vidējais un maksimālais vēja ātrums 2023. gada augustā")
# plt.legend()
# plt.show()
def bar_chart() -> None:
df_wind_speed = read_data(WIND_SPEED_PATH).mean(axis=1)
df_wind_gusts = read_data(WIND_GUSTS_PATH).max(axis=1) - df_wind_speed
df_combined = pd.concat(
[df_wind_speed, df_wind_gusts],
axis=1,
)
def task2() -> None:
# create a bar chart
df_air_temp = read_data(AIR_TEMP_PATH)
plt.bar(df_air_temp, height=10, width=0.8)
df_combined.columns = ["Vidējais", "Maksimālais"]
df_combined.plot.bar(stacked=True, figsize=(12, 8), color=["#ff7f0e", "#1f77b4"], width=0.6)
plt.yticks(np.arange(0, df_combined.max().max() + 2.5, 2.5))
plt.xticks(rotation=45)
plt.xlabel("Mērījumu Datums")
plt.ylabel("Vēja ātrums (m/s)")
plt.title("Vidējais un maksimālais vēja ātrums 2023. gada augustā")
plt.show()
# def task2() -> None:
# # create a bar chart
# df_air_temp = read_data(AIR_TEMP_PATH)
# plt.bar(df_air_temp, height=10, width=0.8)
# plt.show()
@logger.catch
def main() -> None:
# visualize()
task2()
bar_chart()
if __name__ == "__main__":