Commit 68c72bb

authored

style: format code with autopep8

Format code with autopep8 This commit fixes the style issues introduced in cdc1f32 according to the output from Autopep8. Details: https://app.deepsource.com/gh/avinashkranjan/Amazing-Python-Scripts/transform/1c3a1251-a6cd-4e7c-b80d-0b63b1d80a2a/

1 parent cdc1f32 commit 68c72bbCopy full SHA for 68c72bb

File tree

-6

lines changed

-6

lines changed

Lines changed: 7 additions & 6 deletions

Original file line number	Diff line number	Diff line change
`@@ -8,17 +8,21 @@`
`8`	`8`	`data = pd.read_excel("data.xlsx")`
`9`	`9`	`y = data['label']`
`10`	`10`	`X = data.drop(["label"], axis=1)`
`11`		`-X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=0)`
	`11`	`+X_train, X_test, y_train, y_test = train_test_split(`
	`12`	`+ X, y, test_size=0.3, random_state=0)`
`12`	`13`	`lr = LogisticRegression()`
`13`	`14`	`lr.fit(X_train, y_train)`
	`15`	`+`
	`16`	`+`
`14`	`17`	`def predict_crop(input_data):`
`15`	`18`	`crop_label = lr.predict(input_data)`
`16`	`19`	`return crop_label[0]`
	`20`	`+`
	`21`	`+`
`17`	`22`	`def main():`
`18`	`23`	`st.title("Agriculture Optimisation App")`
`19`	`24`	`st.write("Enter the parameter values to predict the crop label:")`
`20`	`25`
`21`		`-`
`22`	`26`	`n = st.number_input("N", value=0.0)`
`23`	`27`	`p = st.number_input("P", value=0.0)`
`24`	`28`	`k = st.number_input("K", value=0.0)`
`@@ -27,16 +31,13 @@ def main():`
`27`	`31`	`ph = st.number_input("pH", value=0.0)`
`28`	`32`	`rainfall = st.number_input("Rainfall", value=0.0)`
`29`	`33`
`30`		`-`
`31`	`34`	`input_data = np.array([[n, p, k, temperature, humidity, ph, rainfall]])`
`32`	`35`
`33`		`-`
`34`		`-`
`35`	`36`	`crop_label = predict_crop(input_data)`
`36`	`37`
`37`		`-`
`38`	`38`	`st.subheader("Predicted Crop Label:")`
`39`	`39`	`st.write(crop_label)`
`40`	`40`
	`41`	`+`
`41`	`42`	`if __name__ == '__main__':`
`42`	`43`	`main()`

Comments

(0)