fix pandas-gbp issue

requirements.in

@@ -3,6 +3,7 @@ botocore<1.19.0,>=1.18.0
 kombu==4.6.10 # CeleryExecutor issues with 1.10.2 supposedly fixed in 1.10.5 airflow, but still observed issues on 1.10.7
 importlib-metadata==2.1.0
 argcomplete==1.12.2
+pandas-gbq==0.14.1
 # removed hdfs
 apache-airflow[celery,postgres,hive,jdbc,async,password,crypto,github_enterprise,datadog,statsd,s3,mysql,google_auth,gcp_api,kubernetes]==1.10.15
 apache-airflow-upgrade-check

requirements.txt

@@ -135,7 +135,7 @@ newrelic==6.4.4.161       # via -r requirements.in
 numpy==1.21.0             # via pandas, pyarrow
 oauthlib==2.1.0           # via apache-airflow, flask-oauthlib, requests-oauthlib
 packaging==21.0           # via apache-airflow, apache-airflow-upgrade-check, google-api-core, google-cloud-appengine-logging, google-cloud-automl, google-cloud-bigquery, google-cloud-bigquery-datatransfer, google-cloud-bigquery-storage, google-cloud-datacatalog, google-cloud-dataproc, google-cloud-kms, google-cloud-logging, google-cloud-memcache, google-cloud-monitoring, google-cloud-os-login, google-cloud-redis, google-cloud-tasks, google-cloud-workflows
-pandas-gbq==0.15.0        # via apache-airflow, apache-airflow-backport-providers-google
+pandas-gbq==0.14.1        # via -r requirements.in, apache-airflow, apache-airflow-backport-providers-google
 pandas==1.3.0             # via apache-airflow, google-cloud-bigquery, pandas-gbq
 pendulum==1.4.4           # via apache-airflow
 prison==0.1.3             # via flask-appbuilder