[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

README.md

@@ -38,4 +38,4 @@ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/d
 
 <!-- ALL-CONTRIBUTORS-LIST:END -->
 
-This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!
+This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!

data/readme.md

@@ -21,4 +21,4 @@ and then a files such as:
 - Jan.csv.gz
 - Feb.csv.gz
 - ...
-- Dec.csv.gz
+- Dec.csv.gz

notebooks/Satellite_Cloud_Coverage_and_Power_Generation_Visualization.ipynb

@@ -636,4 +636,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 5
-}
+}

scripts/5min/Load_parquet_dataframe.py

@@ -5,4 +5,3 @@
 # Specify the location of your parquet file
 file_dir = '/Volumes/Sara_external_drive/PhD/PIPs/OpenClimateFix/Data Huggingface/5min.parquet'
 data = pd.read_parquet(file_dir, engine = 'pyarrow')
-

scripts/5min/Plot_one_system_one_day.py

@@ -1,4 +1,4 @@
-# Select and plot one day of PV data from one PV system 
+# Select and plot one day of PV data from one PV system
 
 import pandas as pd
 import matplotlib.pyplot as plt
@@ -26,6 +26,5 @@
 hours_dataformat = pd.date_range(start="2021-04-01",end="2021-04-02", freq="3H")
 hours_dataformat = hours_dataformat.strftime("%Y-%m-%d %H:%M:%S+00:00").tolist()
 hours_plot = ['12 am', '3 am', '6 am', '9 am', '12 pm', '3 pm', '6 pm', '9 pm', '12 am']
-plt.xticks(hours_dataformat, hours_plot, rotation=30) 
+plt.xticks(hours_dataformat, hours_plot, rotation=30)
 plt.show()
-

scripts/5min/Plot_ten_systems_one_year.py

@@ -11,7 +11,7 @@
 PV_data = pd.DataFrame(columns = ["generation_wh","timestamp","ss_id"])
 PV_systems = [13308, 13057, 7548, 7542, 10589, 6891, 9369, 11438, 18989, 7243]
 PV_data = data[data['ss_id'].isin(PV_systems)]
-    
+
 # Select data from one year
 start_day = '2020-01-01'
 end_day = '2021-01-01'
@@ -27,6 +27,5 @@
 hours_dataformat = pd.date_range(start="2020-01-01",end="2020-12-31", freq="MS")
 hours_dataformat = hours_dataformat.strftime("%Y-%m-%d %H:%M:%S+00:00").tolist()
 hours_plot = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
-plt.xticks(hours_dataformat, hours_plot, rotation=30) 
+plt.xticks(hours_dataformat, hours_plot, rotation=30)
 plt.show()
-

scripts/5min/examples/.gitkeep

@@ -1 +0,0 @@
-