У меня есть данные из разных мест и следующий код, чтобы построить осадки и реки для каждого места отдельно. < /p>
import pandas as pd
import matplotlib.pyplot as plt
def hydrograph_plot(dates, rain, river_flow):
# figure and subplots
fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(10, 6), sharex=True, gridspec_kw={'height_ratios': [1, 2]})
# bar graph rainfall (inverse y axis)
ax1.bar(dates, rain, color='blue', alpha=0.6, label='Chuva (mm)')
ax1.set_ylabel('Rainfall (mm)', color='blue')
ax1.set_ylim(max(rain), 0) # y axis inverted
ax1.set_title('Hydrograph: Rainfall at ' + rain.name + ' and Flow at ' + river_flow.name) # Concatenate colname to the title
ax1.legend(loc='upper left')
ax1.grid(True, linestyle='--', alpha=0.5)
# line graph for river flow
ax2.plot(dates, river_flow, color='green', marker='o', label='Nível do Rio (m)')
ax2.set_xlabel('Data')
ax2.set_ylabel('StreamFlow (m)', color='green')
ax2.legend(loc='upper left')
ax2.grid(True, linestyle='--', alpha=0.5)
# layout and show
fig.autofmt_xdate()
plt.tight_layout()
plt.show()
# Example data for multiple locations
data = {
'Time': pd.date_range(start='2023-10-01', periods=24, freq='D'), # Time in hours
'Rainfall_Loc1': [0, 2, 5, 10, 8, 4, 2, 0, 0, 1, 3, 6, 9, 7, 5, 3, 1, 0, 0, 0, 0, 0, 0, 0], # Rainfall for Location 1
'Streamflow_Loc1': [10, 12, 15, 50, 80, 70, 60, 50, 40, 35, 30, 25, 20, 18, 16, 14, 12, 11, 10, 10, 10, 10, 10, 10], # Streamflow for Location 1
'Rainfall_Loc2': [0, 1, 3, 7, 12, 10, 6, 3, 1, 0, 0, 0, 2, 4, 6, 8, 7, 5, 3, 1, 0, 0, 0, 0], # Rainfall for Location 2
'Streamflow_Loc2': [15, 18, 20, 60, 90, 85, 75, 65, 55, 50, 45, 40, 35, 30, 25, 20, 18, 16, 15, 15, 15, 15, 15, 15], # Streamflow for Location 2
'Rainfall_Loc3': [0, 0, 0, 0, 1, 2, 4, 6, 8, 10, 12, 10, 8, 6, 4, 2, 1, 0, 0, 0, 0, 0, 0, 0], # Rainfall for Location 3
'Streamflow_Loc3': [20, 22, 25, 70, 100, 95, 85, 75, 65, 60, 55, 50, 45, 40, 35, 30, 25, 22, 20, 20, 20, 20, 20, 20], # Streamflow for Location 3
'Rainfall_Loc4': [0, 5, 8, 0, 1, 3, 14, 6, 5, 20, 1, 10, 0, 16, 2, 21, 10, 0, 0, 0, 0, 0, 0, 0], # Rainfall for Location 3
'Streamflow_Loc4': [20, 22, 25, 70, 100, 95, 85, 75, 65, 60, 55, 50, 45, 40, 35, 30, 25, 22, 20, 20, 20, 20, 20, 20] # Streamflow for Location 3
}
df = pd.DataFrame(data)
< /code>
Я хотел бы построить несколько графиков, как показано в примере изображения. < /p>
Подробнее здесь: https://stackoverflow.com/questions/793 ... ith-python
