How to plot IBM Watson NLU API JSON output using Plotly?

I used IBM Watson NLU API and fetched keywords from the response in JSON format. Now, I want to plot a graph by taking 'x'='text' ,'y'='count' using plotly but don't know how to do this.image

edited Nov 18 '18 at 7:32

Vidyasagar Machupalli

1,0391716

asked Nov 17 '18 at 17:51

Avinash Koshal

1

When posing example, use text rather than images.

– Simon O'Doherty
Nov 18 '18 at 1:36

add a comment |

I used IBM Watson NLU API and fetched keywords from the response in JSON format. Now, I want to plot a graph by taking 'x'='text' ,'y'='count' using plotly but don't know how to do this.image

edited Nov 18 '18 at 7:32

Vidyasagar Machupalli

1,0391716

asked Nov 17 '18 at 17:51

Avinash Koshal

1

When posing example, use text rather than images.

– Simon O'Doherty
Nov 18 '18 at 1:36

add a comment |

I used IBM Watson NLU API and fetched keywords from the response in JSON format. Now, I want to plot a graph by taking 'x'='text' ,'y'='count' using plotly but don't know how to do this.image

edited Nov 18 '18 at 7:32

Vidyasagar Machupalli

1,0391716

asked Nov 17 '18 at 17:51

Avinash Koshal

I used IBM Watson NLU API and fetched keywords from the response in JSON format. Now, I want to plot a graph by taking 'x'='text' ,'y'='count' using plotly but don't know how to do this.image

python api plotly ibm-watson

edited Nov 18 '18 at 7:32

Vidyasagar Machupalli

1,0391716

asked Nov 17 '18 at 17:51

Avinash Koshal

edited Nov 18 '18 at 7:32

Vidyasagar Machupalli

1,0391716

asked Nov 17 '18 at 17:51

Avinash Koshal

edited Nov 18 '18 at 7:32

Vidyasagar Machupalli

1,0391716

edited Nov 18 '18 at 7:32

Vidyasagar Machupalli

1,0391716

edited Nov 18 '18 at 7:32

Vidyasagar Machupalli

1,0391716

asked Nov 17 '18 at 17:51

Avinash Koshal

asked Nov 17 '18 at 17:51

Avinash Koshal

asked Nov 17 '18 at 17:51

Avinash Koshal

1

When posing example, use text rather than images.

– Simon O'Doherty
Nov 18 '18 at 1:36

add a comment |

1

When posing example, use text rather than images.

– Simon O'Doherty
Nov 18 '18 at 1:36

When posing example, use text rather than images.

– Simon O'Doherty
Nov 18 '18 at 1:36

add a comment |

2 Answers
2

active

oldest

votes

If your JSON object was called response then this sample code will convert it into a pandas dataframe and display it as a graph.

import pandas as pd

df = pd.DataFrame(response['keywords'], columns=['text', 'relevance', 'count']) 

df.plot(kind='barh', x='text', y='count')

It will display something like this:

enter image description here

answered Nov 19 '18 at 11:30

Simon O'Doherty

7,74812143

add a comment |

There’s no easy or direct way to achieve this. You may have to use a library like pandas to transform the JSON output in to format plotly can plot on a chart.

You can start with Pandas 101 - https://plot.ly/pandas/intro-to-pandas-tutorial/

Here's the Plotly Bar chart with text and count data plotted using Jupyter notebook on IBM Watson studio
enter image description here

Plotly code:

import plotly

import plotly.plotly as py

import plotly.graph_objs as go



NLU_data = [go.Bar(x=NLU_df.text, y=NLU_df['count'].tolist())]



py.iplot({ 'data': NLU_data,

            'layout': {

               'title': 'Distribution',

               'xaxis': {

                 'title': 'text'},

               'yaxis': {

                'title': 'count'}

        }})

You can find the Jupyter notebook here with complete code for your reference

edited Nov 19 '18 at 14:41

answered Nov 18 '18 at 10:46

Vidyasagar Machupalli

1,0391716

add a comment |

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2 Answers
2

active

oldest

votes

2 Answers
2

active

oldest

votes

If your JSON object was called response then this sample code will convert it into a pandas dataframe and display it as a graph.

import pandas as pd

df = pd.DataFrame(response['keywords'], columns=['text', 'relevance', 'count']) 

df.plot(kind='barh', x='text', y='count')

It will display something like this:

enter image description here

answered Nov 19 '18 at 11:30

Simon O'Doherty

7,74812143

add a comment |

If your JSON object was called response then this sample code will convert it into a pandas dataframe and display it as a graph.

import pandas as pd

df = pd.DataFrame(response['keywords'], columns=['text', 'relevance', 'count']) 

df.plot(kind='barh', x='text', y='count')

It will display something like this:

enter image description here

answered Nov 19 '18 at 11:30

Simon O'Doherty

7,74812143

add a comment |

If your JSON object was called response then this sample code will convert it into a pandas dataframe and display it as a graph.

import pandas as pd

df = pd.DataFrame(response['keywords'], columns=['text', 'relevance', 'count']) 

df.plot(kind='barh', x='text', y='count')

It will display something like this:

enter image description here

answered Nov 19 '18 at 11:30

Simon O'Doherty

7,74812143

If your JSON object was called response then this sample code will convert it into a pandas dataframe and display it as a graph.

import pandas as pd

df = pd.DataFrame(response['keywords'], columns=['text', 'relevance', 'count']) 

df.plot(kind='barh', x='text', y='count')

It will display something like this:

enter image description here

answered Nov 19 '18 at 11:30

Simon O'Doherty

7,74812143

answered Nov 19 '18 at 11:30

Simon O'Doherty

7,74812143

answered Nov 19 '18 at 11:30

Simon O'Doherty

7,74812143

answered Nov 19 '18 at 11:30

Simon O'Doherty

7,74812143

add a comment |

There’s no easy or direct way to achieve this. You may have to use a library like pandas to transform the JSON output in to format plotly can plot on a chart.

You can start with Pandas 101 - https://plot.ly/pandas/intro-to-pandas-tutorial/

Here's the Plotly Bar chart with text and count data plotted using Jupyter notebook on IBM Watson studio
enter image description here

Plotly code:

import plotly

import plotly.plotly as py

import plotly.graph_objs as go



NLU_data = [go.Bar(x=NLU_df.text, y=NLU_df['count'].tolist())]



py.iplot({ 'data': NLU_data,

            'layout': {

               'title': 'Distribution',

               'xaxis': {

                 'title': 'text'},

               'yaxis': {

                'title': 'count'}

        }})

You can find the Jupyter notebook here with complete code for your reference

edited Nov 19 '18 at 14:41

answered Nov 18 '18 at 10:46

Vidyasagar Machupalli

1,0391716

add a comment |

There’s no easy or direct way to achieve this. You may have to use a library like pandas to transform the JSON output in to format plotly can plot on a chart.

You can start with Pandas 101 - https://plot.ly/pandas/intro-to-pandas-tutorial/

Here's the Plotly Bar chart with text and count data plotted using Jupyter notebook on IBM Watson studio
enter image description here

Plotly code:

import plotly

import plotly.plotly as py

import plotly.graph_objs as go



NLU_data = [go.Bar(x=NLU_df.text, y=NLU_df['count'].tolist())]



py.iplot({ 'data': NLU_data,

            'layout': {

               'title': 'Distribution',

               'xaxis': {

                 'title': 'text'},

               'yaxis': {

                'title': 'count'}

        }})

You can find the Jupyter notebook here with complete code for your reference

edited Nov 19 '18 at 14:41

answered Nov 18 '18 at 10:46

Vidyasagar Machupalli

1,0391716

add a comment |

There’s no easy or direct way to achieve this. You may have to use a library like pandas to transform the JSON output in to format plotly can plot on a chart.

You can start with Pandas 101 - https://plot.ly/pandas/intro-to-pandas-tutorial/

Here's the Plotly Bar chart with text and count data plotted using Jupyter notebook on IBM Watson studio
enter image description here

Plotly code:

import plotly

import plotly.plotly as py

import plotly.graph_objs as go



NLU_data = [go.Bar(x=NLU_df.text, y=NLU_df['count'].tolist())]



py.iplot({ 'data': NLU_data,

            'layout': {

               'title': 'Distribution',

               'xaxis': {

                 'title': 'text'},

               'yaxis': {

                'title': 'count'}

        }})

You can find the Jupyter notebook here with complete code for your reference

edited Nov 19 '18 at 14:41

answered Nov 18 '18 at 10:46

Vidyasagar Machupalli

1,0391716

There’s no easy or direct way to achieve this. You may have to use a library like pandas to transform the JSON output in to format plotly can plot on a chart.

You can start with Pandas 101 - https://plot.ly/pandas/intro-to-pandas-tutorial/

Here's the Plotly Bar chart with text and count data plotted using Jupyter notebook on IBM Watson studio
enter image description here

Plotly code:

import plotly

import plotly.plotly as py

import plotly.graph_objs as go



NLU_data = [go.Bar(x=NLU_df.text, y=NLU_df['count'].tolist())]



py.iplot({ 'data': NLU_data,

            'layout': {

               'title': 'Distribution',

               'xaxis': {

                 'title': 'text'},

               'yaxis': {

                'title': 'count'}

        }})

You can find the Jupyter notebook here with complete code for your reference

edited Nov 19 '18 at 14:41

answered Nov 18 '18 at 10:46

Vidyasagar Machupalli

1,0391716

edited Nov 19 '18 at 14:41

answered Nov 18 '18 at 10:46

Vidyasagar Machupalli

1,0391716

answered Nov 18 '18 at 10:46

Vidyasagar Machupalli

1,0391716

answered Nov 18 '18 at 10:46

Vidyasagar Machupalli

1,0391716

add a comment |

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