Argument dimensions are incompatible on matplotlib line chart

Trying to shade the area between two line chart but getting the following error

'argument dimensions are incompatible'

I have tried looking at similar questions but cannot seem to get a solution that works in my case.

df['Date'] = pd.DatetimeIndex(df['Date']).year

df = df[df['Date'] != 2015]

df_min = df[df['Element'] =='TMIN'].groupby('Date').aggregate({'Data_Value':np.average})

df_max = df[df['Element'] == 'TMAX'].groupby('Date').aggregate({'Data_Value':np.average})

n = np.array(len(df_min))

x = np.linspace(0,n,n,endpoint=True)

plt.plot(df_max, '-o',df_min,'-o')

plt.fill_between(x,df_min,df_max, color='grey',alpha='0.5')

plt.show()

Link to the database I am referring to : Database

edited Jan 2 at 8:53

Bazingaa

17k21330

asked Jan 2 at 7:41

Emm

1399

Did you check whether the shapes of x, df_min, and df_max are identical?

– cheersmate
Jan 2 at 7:46

@cheersmate df_min & df_max = (10,1), x is (10,)

– Emm
Jan 2 at 7:52

add a comment |

Trying to shade the area between two line chart but getting the following error

'argument dimensions are incompatible'

I have tried looking at similar questions but cannot seem to get a solution that works in my case.

df['Date'] = pd.DatetimeIndex(df['Date']).year

df = df[df['Date'] != 2015]

df_min = df[df['Element'] =='TMIN'].groupby('Date').aggregate({'Data_Value':np.average})

df_max = df[df['Element'] == 'TMAX'].groupby('Date').aggregate({'Data_Value':np.average})

n = np.array(len(df_min))

x = np.linspace(0,n,n,endpoint=True)

plt.plot(df_max, '-o',df_min,'-o')

plt.fill_between(x,df_min,df_max, color='grey',alpha='0.5')

plt.show()

Link to the database I am referring to : Database

edited Jan 2 at 8:53

Bazingaa

17k21330

asked Jan 2 at 7:41

Emm

1399

Did you check whether the shapes of x, df_min, and df_max are identical?

– cheersmate
Jan 2 at 7:46

@cheersmate df_min & df_max = (10,1), x is (10,)

– Emm
Jan 2 at 7:52

add a comment |

Trying to shade the area between two line chart but getting the following error

'argument dimensions are incompatible'

I have tried looking at similar questions but cannot seem to get a solution that works in my case.

df['Date'] = pd.DatetimeIndex(df['Date']).year

df = df[df['Date'] != 2015]

df_min = df[df['Element'] =='TMIN'].groupby('Date').aggregate({'Data_Value':np.average})

df_max = df[df['Element'] == 'TMAX'].groupby('Date').aggregate({'Data_Value':np.average})

n = np.array(len(df_min))

x = np.linspace(0,n,n,endpoint=True)

plt.plot(df_max, '-o',df_min,'-o')

plt.fill_between(x,df_min,df_max, color='grey',alpha='0.5')

plt.show()

Link to the database I am referring to : Database

edited Jan 2 at 8:53

Bazingaa

17k21330

asked Jan 2 at 7:41

Emm

1399

Trying to shade the area between two line chart but getting the following error

'argument dimensions are incompatible'

I have tried looking at similar questions but cannot seem to get a solution that works in my case.

df['Date'] = pd.DatetimeIndex(df['Date']).year

df = df[df['Date'] != 2015]

df_min = df[df['Element'] =='TMIN'].groupby('Date').aggregate({'Data_Value':np.average})

df_max = df[df['Element'] == 'TMAX'].groupby('Date').aggregate({'Data_Value':np.average})

n = np.array(len(df_min))

x = np.linspace(0,n,n,endpoint=True)

plt.plot(df_max, '-o',df_min,'-o')

plt.fill_between(x,df_min,df_max, color='grey',alpha='0.5')

plt.show()

Link to the database I am referring to : Database

python matplotlib

edited Jan 2 at 8:53

Bazingaa

17k21330

asked Jan 2 at 7:41

Emm

1399

edited Jan 2 at 8:53

Bazingaa

17k21330

asked Jan 2 at 7:41

Emm

1399

edited Jan 2 at 8:53

Bazingaa

17k21330

edited Jan 2 at 8:53

Bazingaa

17k21330

edited Jan 2 at 8:53

Bazingaa

17k21330

asked Jan 2 at 7:41

Emm

1399

asked Jan 2 at 7:41

Emm

1399

asked Jan 2 at 7:41

Emm

1399

Did you check whether the shapes of x, df_min, and df_max are identical?

– cheersmate
Jan 2 at 7:46

@cheersmate df_min & df_max = (10,1), x is (10,)

– Emm
Jan 2 at 7:52

add a comment |

Did you check whether the shapes of x, df_min, and df_max are identical?

– cheersmate
Jan 2 at 7:46

@cheersmate df_min & df_max = (10,1), x is (10,)

– Emm
Jan 2 at 7:52

Did you check whether the shapes of x, df_min, and df_max are identical?

– cheersmate
Jan 2 at 7:46

@cheersmate df_min & df_max = (10,1), x is (10,)

– Emm
Jan 2 at 7:52

add a comment |

1 Answer
1

active

oldest

votes

There were two problems in your code:

Your x was basically an integer which has a length 0 whereas you needed to pass an array of values which corresponded to the x-scale range (years in your case) over which you want to fill.

Your df_min and df_max were DataFrames whereas what you should have passed are the y-values corresponding to df_min and df_max. These can be accessed using df_min.values and df_max.values. However, this is an array or arrays. You need to then flatten it to get a 1d array in order to use fill_between.

Following is one solution:

x = df_max.index.values



plt.plot(df_max, '-o',df_min,'-o')

plt.fill_between(x,df_min.values.flatten(),df_max.values.flatten(), color='grey',alpha='0.5')

enter image description here

edited Jan 2 at 8:52

answered Jan 2 at 8:06

Bazingaa

17k21330

add a comment |

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1 Answer
1

active

oldest

votes

1 Answer
1

active

oldest

votes

There were two problems in your code:

Your x was basically an integer which has a length 0 whereas you needed to pass an array of values which corresponded to the x-scale range (years in your case) over which you want to fill.

Your df_min and df_max were DataFrames whereas what you should have passed are the y-values corresponding to df_min and df_max. These can be accessed using df_min.values and df_max.values. However, this is an array or arrays. You need to then flatten it to get a 1d array in order to use fill_between.

Following is one solution:

x = df_max.index.values



plt.plot(df_max, '-o',df_min,'-o')

plt.fill_between(x,df_min.values.flatten(),df_max.values.flatten(), color='grey',alpha='0.5')

enter image description here

edited Jan 2 at 8:52

answered Jan 2 at 8:06

Bazingaa

17k21330

add a comment |

There were two problems in your code:

Your x was basically an integer which has a length 0 whereas you needed to pass an array of values which corresponded to the x-scale range (years in your case) over which you want to fill.

Your df_min and df_max were DataFrames whereas what you should have passed are the y-values corresponding to df_min and df_max. These can be accessed using df_min.values and df_max.values. However, this is an array or arrays. You need to then flatten it to get a 1d array in order to use fill_between.

Following is one solution:

x = df_max.index.values



plt.plot(df_max, '-o',df_min,'-o')

plt.fill_between(x,df_min.values.flatten(),df_max.values.flatten(), color='grey',alpha='0.5')

enter image description here

edited Jan 2 at 8:52

answered Jan 2 at 8:06

Bazingaa

17k21330

add a comment |

There were two problems in your code:

Your x was basically an integer which has a length 0 whereas you needed to pass an array of values which corresponded to the x-scale range (years in your case) over which you want to fill.

Your df_min and df_max were DataFrames whereas what you should have passed are the y-values corresponding to df_min and df_max. These can be accessed using df_min.values and df_max.values. However, this is an array or arrays. You need to then flatten it to get a 1d array in order to use fill_between.

Following is one solution:

x = df_max.index.values



plt.plot(df_max, '-o',df_min,'-o')

plt.fill_between(x,df_min.values.flatten(),df_max.values.flatten(), color='grey',alpha='0.5')

enter image description here

edited Jan 2 at 8:52

answered Jan 2 at 8:06

Bazingaa

17k21330

There were two problems in your code:

Your x was basically an integer which has a length 0 whereas you needed to pass an array of values which corresponded to the x-scale range (years in your case) over which you want to fill.

Your df_min and df_max were DataFrames whereas what you should have passed are the y-values corresponding to df_min and df_max. These can be accessed using df_min.values and df_max.values. However, this is an array or arrays. You need to then flatten it to get a 1d array in order to use fill_between.

Following is one solution:

x = df_max.index.values



plt.plot(df_max, '-o',df_min,'-o')

plt.fill_between(x,df_min.values.flatten(),df_max.values.flatten(), color='grey',alpha='0.5')

enter image description here

edited Jan 2 at 8:52

answered Jan 2 at 8:06

Bazingaa

17k21330

edited Jan 2 at 8:52

answered Jan 2 at 8:06

Bazingaa

17k21330

answered Jan 2 at 8:06

Bazingaa

17k21330

answered Jan 2 at 8:06

Bazingaa

17k21330

add a comment |

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